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applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

av-amexpert-2019-ml-hackathon

AmExpert 2019 organised by AV

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

causal_analysis

Causal Analysis of Customer Churn using DeepLearning

check_rep1

churn-model-case-study

covid-19

Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

data-scientist-roadmap

Toturials coming with the "data science roadmap" picture.

datascienceresources

Open Source Data Science Resources.

datasets

A collection of datasets of ML problem solving

deeplearning.ai-tf-developer-course

demo

This is a demo repository to use and get familiar with Git commands

dlaicourse

Notebooks for learning deep learning

e-commerce-conversion-rate-ab-test-analysis

A/B testing analysis via various approach including simulation and regressions

esl_solution

friendly-fortnight

:wolf: K-Means Clustering using Python from Scratch :mushroom:

hands-on-time-series-analysis-with-r

Hands-On-Time-Series-Analysis-with-R

hardevr01.github.io

Data Science projects portfolio

hastie-elemstatlearn-figures

Recreating figures from the textbook The Elements of Statistical Learning (2nd edition) by Trevor Hastie, Robert Tibshirani, and Jerome Friedman.

kaggle-titanic

A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.

learn-python3

Jupyter notebooks for teaching/learning Python 3

machine-learning-codes0603

Reproducible machine learning notes in Python and R to record my learning journey in Data Science

machine_learning_examples

A collection of machine learning examples and tutorials.

machinelearning

Machine learning for beginner(Data Science enthusiast)

ml-performance-prediction

Code that accompanies the paper "Predicting the Computational Cost of Deep Learning Models"

ml-performance-prediction2

myappsample

Sample app for tutorial- running and learning git commands

openr

Distributed platform for building autonomic network functions.

practicumproject